diff --git a/asrserver.py b/asrserver.py
deleted file mode 100644
index f3f8489..0000000
--- a/asrserver.py
+++ /dev/null
@@ -1,157 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-#
-# Copyright 2016-2099 Ailemon.net
-#
-# This file is part of ASRT Speech Recognition Tool.
-#
-# ASRT is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-# ASRT is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
-# ============================================================================
-
-"""
-@author: nl8590687
-ASRT语音识别API的HTTP服务器程序
-"""
-
-import http.server
-import socket
-from speech_model import ModelSpeech
-from speech_model_zoo import SpeechModel251BN
-from speech_features import Spectrogram
-from LanguageModel2 import ModelLanguage
-
-AUDIO_LENGTH = 1600
-AUDIO_FEATURE_LENGTH = 200
-CHANNELS = 1
-# 默认输出的拼音的表示大小是1428，即1427个拼音+1个空白块
-OUTPUT_SIZE = 1428
-sm251bn = SpeechModel251BN(
-    input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS),
-    output_size=OUTPUT_SIZE
-    )
-feat = Spectrogram()
-ms = ModelSpeech(sm251bn, feat, max_label_length=64)
-ms.load_model('save_models/' + sm251bn.get_model_name() + '.model.h5')
-
-ml = ModelLanguage('model_language')
-ml.LoadModel()
-
-
-class ASRTHTTPHandle(http.server.BaseHTTPRequestHandler):
-    def setup(self):
-        self.request.settimeout(10)
-        http.server.BaseHTTPRequestHandler.setup(self)
-
-    def _set_response(self):
-        self.send_response(200)
-        self.send_header('Content-type', 'text/html')
-        self.end_headers()
-
-    def do_GET(self):
-        buf = 'ASRT_SpeechRecognition API'
-        self.protocal_version = 'HTTP/1.1'
-
-        self._set_response()
-
-        buf = bytes(buf,encoding="utf-8")
-        self.wfile.write(buf)
-
-    def do_POST(self):
-        '''
-        处理通过POST方式传递过来并接收的语音数据
-        通过语音模型和语言模型计算得到语音识别结果并返回
-        '''
-        path = self.path
-        print(path)
-        #获取post提交的数据
-        datas = self.rfile.read(int(self.headers['content-length']))
-        #datas = urllib.unquote(datas).decode("utf-8", 'ignore')
-        datas = datas.decode('utf-8')
-        datas_split = datas.split('&')
-        token = ''
-        fs = 0
-        wavs = []
-
-        for line in datas_split:
-            [key, value]=line.split('=')
-            if key == 'wavs' and value != '':
-                wavs.append(int(value))
-            elif key == 'fs':
-                fs = int(value)
-            elif key == 'token':
-                token = value
-            else:
-                print(key, value)
-
-        if token != 'qwertasd':
-            buf = '403'
-            print(buf)
-            buf = bytes(buf,encoding="utf-8")
-            self.wfile.write(buf)
-            return
-
-        if len(wavs)>0:
-            r = self.recognize([wavs], fs)
-        else:
-            r = ''
-
-        if token == 'qwertasd':
-            buf = r
-        else:
-            buf = '403'
-
-        self._set_response()
-
-        print(buf)
-        buf = bytes(buf,encoding="utf-8")
-        self.wfile.write(buf)
-
-    def recognize(self, wavs, fs):
-        r=''
-        try:
-            r_speech = ms.recognize_speech(wavs, fs)
-            print(r_speech)
-            str_pinyin = r_speech
-            r = ml.SpeechToText(str_pinyin)
-        except Exception as ex:
-            r=''
-            print('[*Message] Server raise a bug. ', ex)
-        return r
-
-    def recognize_from_file(self, filename):
-        pass
-
-
-class HTTPServerV6(http.server.HTTPServer):
-    address_family = socket.AF_INET6
-
-
-def start_server(ip, port):
-    if ':' in ip:
-        http_server = HTTPServerV6((ip, port), ASRTHTTPHandle)
-    else:
-        http_server = http.server.HTTPServer((ip, int(port)), ASRTHTTPHandle)
-
-    print('服务器已开启')
-
-    try:
-        http_server.serve_forever() #设置一直监听并接收请求
-    except KeyboardInterrupt:
-        pass
-    http_server.server_close()
-    print('HTTP server closed')
-
-
-if __name__ == '__main__':
-    start_server('', 20000) # For IPv4 Network Only
-    #start_server('::', 20000) # For IPv6 Network
diff --git a/client.py b/client.py
deleted file mode 100644
index d7be0f8..0000000
--- a/client.py
+++ /dev/null
@@ -1,40 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-#
-# Copyright 2016-2099 Ailemon.net
-#
-# This file is part of ASRT Speech Recognition Tool.
-#
-# ASRT is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-# ASRT is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
-# ============================================================================
-
-'''
-@author: nl8590687
-ASRT语音识别asrserver测试专用客户端
-'''
-import time
-import requests
-from utils.ops import read_wav_data
-
-URL = 'http://127.0.0.1:20000/'
-TOKEN = 'qwertasd'
-wavsignal, fs, _, _ = read_wav_data('X:\\语音数据集\\data_thchs30\\train\\A11_0.wav')
-datas={'token':TOKEN, 'fs':fs, 'wavs':wavsignal}
-
-t0=time.time()
-r = requests.post(URL, datas)
-t1=time.time()
-r.encoding='utf-8'
-
-print(r.text)
-print('time:', t1-t0, 's')